Precision Biosciences (DTIL) Return on Equity [ROE] (2018 - 2026)
Precision Biosciences' Return on Equity [ROE] was -48.49% in fiscal Q2 2026 (quarter ended Jun 30, 2026), up 139.20 percentage points from -187.68% a year earlier but down 7.58 percentage points from the prior quarter.
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Analysis
Precision Biosciences (DTIL) Return on Equity [ROE] (2018 - 2026) Analysis & Trends
For FY2025 (ended Dec 31, 2025), Return on Equity [ROE] at Precision Biosciences came in at -61.52%, down 80.57 percentage points from FY2024.
- Return on Equity [ROE] shows a five-year change of +57.78 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Equity [ROE] was 19.05% in FY2024 (+173.71 pp), -154.66% in FY2023 (-7.39 pp), -147.28% in FY2022 (-89.31 pp) and -57.97% in FY2021 (+61.33 pp).
- Quarterly Return on Equity [ROE] has moved between -329.87% (fiscal Q3 2025) and 30.32% (fiscal Q2 2024) over five years.
- Compared with a year earlier, Return on Equity [ROE] was higher in five of the last eight quarters, with an average year-over-year change of +6.55 percentage points.
- The best year-over-year quarter for Return on Equity [ROE] over five years was fiscal Q2 2024 (a gain of 271.19 percentage points); the worst was fiscal Q3 2025 (a drop of 342.22 percentage points).
- Per Business Quant data, DTIL's Return on Equity [ROE] in the three fiscal quarters before Q2 2026 was -40.90% (Q1 2026), -85.61% (Q4 2025) and -329.87% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.32% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 7.21% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 84.40% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 21.39% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.75% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -18.38% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 4.97% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 22.24% |
| 10 | Precision Biosciences | 165.47 Mn | -183.71 Mn | - | -48.49% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -48.49% |
| Mar 31, 2026 | -40.90% |
| Dec 31, 2025 | -85.61% |
| Sep 30, 2025 | -329.87% |
| Jun 30, 2025 | -187.68% |
| Mar 31, 2025 | -41.59% |
| Dec 31, 2024 | 11.82% |
| Sep 30, 2024 | 12.36% |
| Jun 30, 2024 | 30.32% |
| Mar 31, 2024 | -98.71% |
| Dec 31, 2023 | -255.90% |
| Sep 30, 2023 | -233.01% |
| Jun 30, 2023 | -240.87% |
| Mar 31, 2023 | -212.77% |
| Dec 31, 2022 | -150.79% |
| Sep 30, 2022 | -118.89% |
| Jun 30, 2022 | -114.68% |
| Mar 31, 2022 | -59.46% |
| Dec 31, 2021 | -40.81% |
| Sep 30, 2021 | -31.72% |
API Access
Precision Biosciences Return on Equity [ROE] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-equity-%5Broe%5D&ticker=DTIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "ticker": "DTIL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-equity-%5Broe%5D&ticker=DTIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();